Comments (3)
I'm in favor, but are there any models that are usable on CPU?
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Good point, DLWP and the FCN should be fine... Pangu I think should be able as I'm guess but I have not tried, its ONNX so as long as it just has operators that are supported by the CPU runtime should be fine. FCNv2 would also need a test, but I'm not losing sleep over it.
If anything, this restriction should be imposed by the model's load function if needed.
from earth2mip.
I tracked down some of these issues in #76. I am not sure if there are others, but this issue doesn't refer to any specific bug. If someone notices a specific bug, then we can open issue for that.
from earth2mip.
Related Issues (20)
- 🐛[BUG]: Scoring notebook does not produce correct results with the DLWP model
- 🚀[FEA]: Add Statistics HOT 1
- 🚀[FEA]: Add better IO support HOT 1
- 🐛[BUG]: unrecognized input to lagged ensembles HOT 2
- 📚[DOC]: Update contribution guide for users
- 🐛[BUG]: e2mip://graphcast potentially broken
- 🐛[BUG]: graphcast race condition when caching graph data structure
- 🚀[FEA]: add torchfix linting
- 🐛[BUG]: Graphcast Operational Input/Output Channel Mismatch HOT 5
- Earth-2 MIP Data flow HOT 2
- Cleanup earth2mip/lagged_ensembles/__main__.py HOT 1
- Utilities for distributed management of ensembles HOT 1
- 🚀[FEA]: Improving Diagnostic Implementations
- 🐛[BUG]: Inconsistency in Model Inferences with Modified Initial Conditions and Execution Date in 04_diagnostic_models Example HOT 3
- 🐛[BUG]: Running inference_ensemble with multiple ensemble members per rank causes perturbations to be applied multiple times HOT 1
- 🚀[FEA]: make pure python function for earth2mip.time_collection
- 🐛[BUG]: e2mip://fcn broken HOT 1
- Need to clarify provenance of e2mip models
- 🚀[FEA]: Improve deterministic inference UX HOT 1
- 🐛[BUG]: ensemble perturbation_strategy: "spherical_grf"
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